Convex Distribution System Reconfiguration Using Group Sparsity

被引:0
作者
Dall'Anese, Emiliano [1 ]
Giannakis, Georgios B. [1 ]
机构
[1] Univ Minnesota, Digital Technol Ctr, Dept ECE, Minneapolis, MN 55455 USA
来源
2013 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PES) | 2013年
关键词
Distribution systems; network reconfiguration; convex programming; group sparsity;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
A system reconfiguration problem is considered for three-phase power distribution networks, with the objective of finding the topology that minimizes the overall active power loss. In lieu of binary variables representing the states of tie switches, contemporary compressive sampling tools are leveraged here to re-formulate the nonconvex distribution system reconfiguration (DSR) problem into a convex one. The novel formulation hinges on the notion of group-sparsity, an underlying attribute of the currents and powers traversing the distribution lines equipped with switches. It is shown that by adjusting a sparsity-tuning parameter, one can obtain meshed, weakly-meshed, or radial systems. The proposed reconfiguration scheme is tested on a modified version of the IEEE 37-node test feeder.
引用
收藏
页数:5
相关论文
共 50 条
  • [31] Convex optimization model for Network Reconfiguration of Smart Grids
    Suryawati, Indri
    Penangsang, Ontoseno
    Wibowo, Rony Seto
    PRZEGLAD ELEKTROTECHNICZNY, 2023, 99 (10): : 134 - 137
  • [32] A New Optimization Method for Distribution System Reconfiguration
    Masteri, K.
    Venkatesh, B.
    2014 IEEE 27TH CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (CCECE), 2014,
  • [33] Optimal reconfiguration of electrical distribution network using the refined genetic algorithm
    Zhu, JZ
    ELECTRIC POWER SYSTEMS RESEARCH, 2002, 62 (01) : 37 - 42
  • [34] Automatic Image Annotation and Retrieval Using Group Sparsity
    Zhang, Shaoting
    Huang, Junzhou
    Li, Hongsheng
    Metaxas, Dimitris N.
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2012, 42 (03): : 838 - 849
  • [35] SAR MOVING TARGET IMAGING USING GROUP SPARSITY
    Onhon, N. Ozben
    Cetin, Mujdat
    2013 PROCEEDINGS OF THE 21ST EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2013,
  • [36] Distribution system reconfiguration for loss minimization using modified bacterial foraging optimization algorithm
    Naveen, S.
    Kumar, K. Sathish
    Rajalakshmi, K.
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2015, 69 : 90 - 97
  • [37] Network Reconfiguration of Distribution System Using Fuzzy Preferences Multi-Objective Approach
    Sun, Hongbin
    Ding, Yongsheng
    2010 2ND INTERNATIONAL ASIA CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS (CAR 2010), VOL 3, 2010, : 93 - 96
  • [38] A Novel Method for Distribution System Feeder Reconfiguration Using Black-Box Optimization
    Tang, Lei
    Yang, Fang
    Feng, Xianyong
    2013 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PES), 2013,
  • [39] A NEW DISTRIBUTION SYSTEM RECONFIGURATION APPROACH USING PARTICLE SWARM OPTIMIZATION AND NEURAL NETWORK
    Siti, M. W.
    Numbi, B. P.
    Jordaan, J.
    Nicolae, D.
    NCTA 2011: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON NEURAL COMPUTATION THEORY AND APPLICATIONS, 2011, : 218 - 223
  • [40] Optimal Modeling of Load Variations in Distribution System Reconfiguration
    Mahdavi, Meisam
    Javadi, Mohammad S.
    Wang, Fei
    Catalao, Joao P. S.
    2021 21ST IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2021 5TH IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC/I&CPS EUROPE), 2021,